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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 37, 2020 - Issue 7
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Original Articles

A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy

ORCID Icon, , & ORCID Icon
Pages 1002-1015 | Received 02 Mar 2020, Accepted 03 Apr 2020, Published online: 28 Apr 2020

References

  • Acebo C, Sadeh A, Seifer R, Tzischinsky O, Hafer A, Carskadon MA. 2005. Sleep/wake patterns derived from activity monitoring and maternal report for healthy 1- to 5-year-old children. Sleep. 28:1568. doi:10.1093/sleep/28.12.1568.
  • Baum LE, Petrie T. 1966. Statistical inference for probabilistic functions of finite state Markov chains. Ann Math Stat. 37:1554–1563. doi:10.1214/aoms/1177699147.
  • Baum LE, Petrie T, Soules G, Weiss N. 1970. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann Math Stat. 41:164–171. doi:10.1214/aoms/1177697196.
  • Belanger ME, Simard V, Bernier A, Carrier J. 2014. Investigating the convergence between actigraphy, maternal sleep diaries, and the child behavior checklist as measures of sleep in toddlers. Front Psychiatry. 5:158. doi:10.3389/fpsyt.2014.00158.
  • Bland JM, Altman D. 1986. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet. 327:307–310. doi:10.1016/S0140-6736(86)90837-8.
  • Cohen J. 1960. A coefficient of agreement for nominal scales. Educ Psychol Meas. 20:37–46. doi:10.1177/001316446002000104.
  • Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. 1992. Automatic sleep/wake identification from wrist activity. Sleep. 15:461–469. doi:10.1093/sleep/15.5.461.
  • de Zambotti M, Baker FC, Willoughby AR, Godino JG, Wing D, Patrick K, Colrain IM. 2016. Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents. Physiol Behav. 158:143–149. doi:10.1016/j.physbeh.2016.03.006.
  • de Zambotti M, Goldstone A, Claudatos S, Colrain IM, Baker FC. 2018. A validation study of fitbit charge 2 compared with polysomnography in adults. Chronobiol Int. 35:465–476. doi:10.1080/07420528.2017.1413578.
  • Dean DA, Goldberger AL, Mueller R, Kim M, Rueschman M, Mobley D, Sahoo SS, Jayapandian CP, Cui L, Morrical MG, et al. 2016. Scaling up scientific discovery in sleep medicine: the national sleep research resource. Sleep. 39:1151–1164. doi:10.5665/sleep.5774.
  • Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR, Castriotta RJ. 2019a. Accuracy of wristband fitbit models in assessing sleep: systematic review and meta-analysis. J Med Internet Res. 21:e16273. doi:10.2196/16273.
  • Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR, Castriotta RJ. 2019b. Performance comparison of different interpretative algorithms utilized to derive sleep parameters from wrist actigraphy data. Chronobiol Int. 36:1752–1760. doi:10.1080/07420528.2019.1679826.
  • Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR, Castriotta RJ. 2020. Performance assessment of new-generation fitbit technology in deriving sleep parameters and stages. Chronobiol Int. 37:47–59. doi:10.1080/07420528.2019.1682006.
  • Jean-Louis G, Kripke DF, Mason WJ, Elliott JA, Youngstedt SD. 2001. Sleep estimation from wrist movement quantified by different actigraphic modalities. J Neurosci Methods. 105:185–191. doi:10.1016/s0165-0270(00)00364-2.
  • Johns MW. 1991. A new method for measuring daytime sleepiness: the epworth sleepiness scale. Sleep. 14:540–545. doi:10.1093/sleep/14.6.540.
  • Kushida CA, Chang A, Gadkary C, Guilleminault C, Carrillo O, Dement WC. 2001. Comparison of actigraphic, polysomnographic, and subjective assessment of sleep parameters in sleep-disordered patients. Sleep Med. 2:389–396. doi:10.1016/s1389-9457(00)00098-8.
  • Landis JR, Koch GG. 1977. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 33:363–374. doi:10.2307/2529786.
  • Liang Z, Chapa Martell MA. 2018. Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. J Healthcare Inf Res. 2:152–178. doi:10.1007/s41666-018-0013-1.
  • Malow BA, Marzec ML, Mcgrew SG, Wang L, Henderson LM, Stone WL. 2006. Characterizing sleep in children with autism spectrum disorders: a multidimensional approach. Sleep. 29:1563. doi:10.1093/sleep/29.12.1563.
  • Mantua J, Gravel N, Spencer RM. 2016. Reliability of sleep measures from four personal health monitoring devices compared to research-based actigraphy and polysomnography. Sensors (Basel). 16. doi:10.3390/s16050646
  • Marino M, Li Y, Rueschman MN, Winkelman JW, Ellenbogen JM, Solet JM, Dulin H, Berkman LF, Buxton OM. 2013. Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. Sleep. 36:1747–1755. doi:10.5665/sleep.3142.
  • Meltzer LJ, Montgomery-Downs HE, Insana SP, Walsh CM. 2012a. Use of actigraphy for assessment in pediatric sleep research. Sleep Med Rev. 16:463–475. doi:10.1016/j.smrv.2011.10.002
  • Meltzer LJ, Walsh CM, Traylor J, Westin AM. 2012b. Direct comparison of two new actigraphs and polysomnography in children and adolescents. Sleep. 35:159–166. doi:10.5665/sleep.1608
  • Murphy SL. 2009. Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct. Prev Med. 48:108–114. doi:10.1016/j.ypmed.2008.12.001.
  • Nasrabadi NM. 2007. Pattern recognition and machine learning. J Electron Imaging. 16:049901. doi:10.1117/1.2819119
  • Portaluppi F, Smolensky MH, Touitou Y. 2010. Ethics and methods for biological rhythm research on animals and human beings. Chronobiol Int. 27:1911–1929. doi:10.3109/07420528.2010.516381.
  • Ryan MS, Nudd GR. 1973. The viterbi algorithm. Proc IEEE. 61:268–278. doi:10.1109/PROC.1973.9030.
  • Sadeh A. 2011. The role and validity of actigraphy in sleep medicine: an update. Sleep Med Rev. 15:259–267. doi:10.1016/j.smrv.2010.10.001.
  • Sadeh A, Sharkey KM, Carskadon MA. 1994. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep. 17:201–207. doi:10.1093/sleep/17.3.201.
  • Shephard RJ. 2003. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 37:197–206. doi:10.1136/bjsm.37.3.197. discussion 206. doi:10.1136/bjsm.37.3.197.
  • Svensson T, Chung UI, Tokuno S, Nakamura M, Svensson AK. 2019. A validation study of a consumer wearable sleep tracker compared to a portable EEG system in naturalistic conditions. J Psychosom Res. 126:109822. doi:10.1016/j.jpsychores.2019.109822.
  • Tilmanne J, Urbain J, Kothare MV, Wouwer AV, Kothare SV. 2009. Algorithms for sleep–wake identification using actigraphy: a comparative study and new results. J Sleep Res. 18:85–98. doi:10.1111/j.1365-2869.2008.00706.x.
  • Walch O, Huang Y, Forger D, Goldstein C. 2019. Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device. Sleep. 42. doi:10.1093/sleep/zsz180
  • Weiss AR, Johnson NL, Berger NA, Redline S. 2010. Validity of activity-based devices to estimate sleep. J Clin Sleep Med. 6:336–342. doi:10.5664/jcsm.27874.
  • Werner H, Molinari L, Guyer C, Jenni OG. 2008. Agreement rates between actigraphy, diary, and questionnaire for children’s sleep patterns. Arch Pediatr Adolesc Med. 162:350. doi:10.1001/archpedi.162.4.350.
  • Yang SC, Yang A, Chang YJ. 2014. Validation of Actiwatch for assessment of sleep-wake states in preterm infants. Asian Nurs Res (Korean Soc Nurs Sci). 8:201–206. doi:10.1016/j.anr.2014.06.002.
  • Yoon BJ. 2009. Hidden Markov models and their applications in biological sequence analysis. Curr Genomics. 10:402–415. doi:10.2174/138920209789177575.
  • Zhang GQ, Cui L, Mueller R, Tao S, Kim M, Rueschman M, Mariani S, Mobley D, Redline S. 2018. the national sleep research resource: towards a sleep data commons. J Am Med Inform Assoc. 25:1351–1358. doi:10.1093/jamia/ocy064.
  • Zinkhan M, Berger K, Hense S, Nagel M, Obst A, Koch B, Penzel T, Fietze I, Ahrens W, Young P, et al. 2014. Agreement of different methods for assessing sleep characteristics: a comparison of two actigraphs, wrist and hip placement, and self-report with polysomnography. Sleep Med. 15:1107–1114. doi:10.1016/j.sleep.2014.04.015.

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